IEEE Xplore - Login

Cart | Sitemap | Help

Login


	BROWSE	SEARCH	IEEE XPLORE GUIDE	SUPPORT


Article Information

Predicting Resource Demand in Dynamic Utility Computing Environments Andrzejak, A.; Graupner, S.; Plantikow, S. Autonomic and Autonomous Systems, 2006. ICAS apos;06. 2006 International Conference on Volume , Issue , 16-18 July 2006 Page(s):6 - 6 Digital Object Identifier 10.1109/ICAS.2006.44 Summary:We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in computing systems and networks, mostly due to the high dynamicity of the underlying processes. Utility computing environments are an important example for such a scenario, as their frequent reconfiguration reduces the amount of training data available for modeling. We propose an approach based on a genetic algorithm and fuzzy logic which allows for creation of robust prediction models even with scarce training data. The method is evaluated on demand usage traces collected from 41 servers in a business data center. The results show in the setting of scarce training data amount our method has a significantly higher prediction accuracy compared to other non-linear techniques such as decision trees or support vector machines » View citation and abstract



IEEE Members

Log in by entering your IEEE Web Account Username and Password. IEEE Communications Society members: If you subscribe to the IEEE Electronic Periodicals Package or IEEE Electronic Periodicals Package Plus, you must access your subscription at www.comsoc.org.



Users at Subscribing Institutions

Check with your librarian, information professional, or system manager to determine if you need to log in. Please complete the online Technical Support Form if you need assistance.



Already Purchased This Article?

Select the Purchase History link to access the document. You will have 5 Days after purchase to access the Full Text PDF. Please complete the online Technical Support Form if you need assistance.



Guests

• Search and access Abstract records free of charge • Register for table of contents alerts • Purchase Full Text PDF documents » Learn more about subscription options or how to become an IEEE Member.

You are not logged in.

Username

Password

» Forgot your password?

Please remember to log out when you have finished your session.

You must log in to access:
• Advanced or Author Search
• CrossRef Search
• AbstractPlus Records
• Full Text PDF
• Full Text HTML

Access this document

» Buy this document now

» Learn more about

subscription options

» Learn more about

purchasing articles

and standards

Learn more about IEEE Subscriptions

Help Contact Us Privacy & Security IEEE.org